Extremely simple cluster-compute software

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Hi HN! We're Jake, Jack, and Joe, the creators of Burla, the world's simplest cluster compute software. Believe it or not, it's still super common for research / data-analysis teams to handoff work to Engineering because they aren't able to easily scale analyses on their own. Engineering managers we spoke with frequently attempt to onboard these teams to tools like Apache Airflow, Prefect, Dask, or Ray, but these tools come with hidden tradeoffs and complexity that researchers often struggle with on their own. This is can be very painful for engineering managers who wind up acting like highly paid support/education staff, instead of focusing their real work. It's also very painful for research teams who are often blocked waiting on engineering/devops to help them. This is why we created Burla, it's designed to be simple enough for even complete beginners to scale python across thousands of VM's. It's open-source, works with GPU's, custom containers, and up to 10,000 CPU's in a single cluster. We just launched our managed service and are giving away free compute to anyone who we think might a good fit, if you want to give it a try please let us know, and we'll send you a personalized instance today!

Visit product View on Hacker NewsSep 19, 2025

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

92%92% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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Product HuntOn track for Day 1 leaderboard · Strong signals: single, using, open · Missing: mac, agents, macos

84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: 000, io · Missing: https docs, excited, just released

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: personal, way, education · Missing: mobile apps, ios, entrepreneurs

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

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Incorrect prediction on native model

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